Overview:

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.

#LI-CG1 #LI-Hybrid

Responsibilities:

In these influential roles, you will:

• Develop Advanced Cloud & Data Platforms

  • Utilize your AWS and cloud-native engineering to design scalable data pipelines, leverage

    modern table formats, and embed policy-as-code.

  • You will harness GenAI-powered developer tools to accelerate delivery while building robust, governed, self-service cloud platforms.

• Lead in Technical Innovation
  • Guide the technical trajectory of a growing two-pizza “You Build It, You Run It” team.
  • Driveadoption of distributed data processing, Lakehouse architectures, and sidecar “Agent Boss” agents that continuously operate, optimize, and remediate workloads.
  • Ensure solutions adhere to cloud and data engineering best practices while unlocking velocity and scale.
• Collaborate and Influence.
  • Work closely with product managers, data scientists, and platform engineers to balance velocity with governance.
  • You’ll shape the future of our AWS-based platforms, ensuring they meet both business goals and user experience expectations, while sustaining a true 24×7 support model.
• Mentor with Expertise
  • Bring specialized expertise in cloud-native data processing, platform reliability, and GenAI-driven development.
  • Mentor engineers from co-op to senior level, foster a culture of craftsmanship and learning, and help build the next generation of technical leaders in our Canadian engineering hub.

Who We Are Looking For:

• The ideal candidates are experienced AWS cloud and data engineering professionals who

  thrive in small, high-impact teams.

• You have solid experience with distributed data processing, platform building, and observability, paired with fluency in GenAI coding assistants and modern developer productivity tools. You are a leader who enjoys mentoring, guiding, and inspiring others, and you embrace the “You Build It, You Run It” ethos.

• These roles are more than a job; it’s an opportunity to shape the core of Planview’s Data Foundation strategy, scaling a team that unlocks governed self-service data at enterprise scale.

• By combining your technical depth with leadership and collaboration, you’ll make a

  lasting impact on the way modern cloud platforms and GenAI-powered engineering are built.

Qualifications:

Required Qualifications:

• 5+ years of professional software development experience including

  experience delivering complex, enterprise-grade software projects.

• Strong proficiency in Java, Python, and SQL for enterprise application

  development, data processing, and database operations.

• Strong expertise in AWS services and cloud architecture, with emphasis on

  building scalable, reliable, and secure software and data platforms.

• Hands-on experience with large-scale data processing frameworks (e.g., Apache
  Spark, Flink, or AWS Glue) for distributed computing and analytics.

• Proficiency with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift)

  for data warehousing, analytics, and scalable data management.

• Experience with cloud service integration and APIs.

• Familiarity with DevSecOps principles and modern CI/CD practices for secure,

  automated software delivery.

• Proficiency with Docker and containerization technologies for deployment,

  scaling, and environment management in cloud environments.

• Strong working knowledge of data security, governance, and privacy best

  practices in cloud-native environments.

• Expected Salary: 120,000 -150,000 CAD

Preferred Qualifications
These skills are not required on day one, but they are highly valued as they align with our

mission to build a GenAI-first Data Foundation and scale a two-pizza, "You Build It, You Run

It team":

• Experience with building and maintaining Knowledge Graphs and managing

  Data Ontologies, enabling richer data discovery, interoperability, and governance

• Solid understanding of W3C ontology standards (RDF, RDFS, OWL, SKOS, SHACL),

  with practical experience in implementing ontologies with real data to drive

  measurable business value

• Interest in or hands-on exposure to Generative AI architectures, including LLM

  integration patterns, RAG (Retrieval-Augmented Generation) systems, prompt

  engineering, and AI-driven data workflows that extend developer and platform

  productivity

• Experience leveraging AI-powered coding assistants and developer

  productivity tools (e.g., GitHub Copilot, Amazon CodeWhisperer, CodiumAI, Claude

  Code) to accelerate prototyping, code refactoring, and proof-of-concept development

• Familiarity with observability practices (e.g., OpenTelemetry, Prometheus/Grafana,
  CloudWatch) and participation in on-call rotations, aligning with our "You Build It,

  You Run It" culture of ownership

• Knowledge of multi-cloud environments (Azure or GCP) to support broader

  interoperability while keeping AWS as the primary execution environment

• Experience with modern table formats (Apache Iceberg) and query engines

  (Trino, DuckDB)

• Experience with workflow orchestration tools (Airflow, Dagster, MWAA)

• Experience with event streaming and CDC technologies (Kafka, Kinesis, Pub/Sub